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Found 2 papers, 2 papers with code
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
We show our proposed model overcomes the limitations of the existing KG embedding models and TKG embedding models and has the ability of learning and inferringvarious relation patterns over time.
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
Moreover, considering the temporal uncertainty during the evolution of entity/relation representations over time, we map the representations of temporal KGs into the space of multi-dimensional Gaussian distributions.
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